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可溶性蛋白质的磷酸化位点图谱:生物信息学筛选揭示了拟南芥中潜在的质体磷蛋白

Phosphorylation site mapping of soluble proteins: bioinformatical filtering reveals potential plastidic phosphoproteins in Arabidopsis thaliana.

作者信息

Lohrig Katharina, Müller Bernd, Davydova Joulia, Leister Dario, Wolters Dirk Andreas

机构信息

Department of Analytical Chemistry, Ruhr-University Bochum, Bochum, Germany.

出版信息

Planta. 2009 Apr;229(5):1123-34. doi: 10.1007/s00425-009-0901-y. Epub 2009 Feb 24.

Abstract

Protein phosphorylation is a major mode of regulation of metabolism, gene expression, and cell architecture. A combination of phosphopeptide enrichment strategies based on TiO(2) and IMAC in addition to our MudPIT strategy revealed the detection of 181 phosphorylation sites which are located on 125 potentially plastidic proteins predicted by GoMiner, TargetP/Predotar in Arabidopsis thaliana. In our study phosphorylation on serine is favored over threonine and this in turn over phosphorylation on tyrosine residues, showing a percentage of 67.4% to 24.3% to 8.3% for pS:pT:pY. Four phosphorylated residues (S208, Y239, T246 and T330), identified by our approach have been fitted to the structure of the activated form of spinach RuBisCO, which are located in close proximity to the substrate binding site for ribulosebisphosphate. Potentially, these phosphorylation sites exert a direct influence on the catalytic activity of the enzyme. Such examples show nicely the value of the presented mass spectrometric dataset for further biochemical applications, since alternative mutation analysis often turns out to be unsuccessful, caused by mutations in essential proteins which result in lethal phenotypes.

摘要

蛋白质磷酸化是调节新陈代谢、基因表达和细胞结构的主要方式。除了我们的多维蛋白质鉴定技术(MudPIT)策略外,基于二氧化钛(TiO₂)和固定化金属离子亲和色谱(IMAC)的磷酸肽富集策略相结合,揭示了在拟南芥中通过GoMiner、TargetP/Predotar预测的125种潜在质体蛋白上检测到181个磷酸化位点。在我们的研究中,丝氨酸磷酸化比苏氨酸更常见,而苏氨酸磷酸化又比酪氨酸磷酸化更常见,pS:pT:pY的比例分别为67.4%、24.3%和8.3%。通过我们的方法鉴定出的四个磷酸化残基(S208、Y239、T246和T330)已与菠菜1,5-二磷酸核酮糖羧化酶/加氧酶(RuBisCO)活化形式的结构相匹配,它们位于与1,5-二磷酸核酮糖底物结合位点附近。这些磷酸化位点可能对该酶的催化活性产生直接影响。这些例子很好地展示了所提供的质谱数据集在进一步生化应用中的价值,因为由于必需蛋白质中的突变导致致死表型,替代突变分析往往不成功。

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